Description : Senior Data Scientist.

Location : Lifesight Innovation Hub Bengaluru, KA, India.

Working Model : Work From Office (5 days).

About Us :

Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention.

We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK.

Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs.

Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth.

Key Responsibilities :

- Develop, validate, and deploy advanced regression-based frameworks to measure channel and campaign ROI.

- Research, adapt, and implement the latest methods from academic and industry papers in causal inference, Bayesian modeling, and time-series forecasting.

- Design and analyze A/B and multivariate experiments to drive actionable business insights.

- Collaborate with cross-functional teams (product, engineering, marketing science) to integrate measurement models into scalable systems.

- Continuously explore and apply the latest AI/ML techniques to maintain a competitive edge.

- Work closely with cross-functional teams to understand business needs and translate them into technical requirements.

- Mentor junior data scientists and contribute to fostering a culture of continuous learning and innovation.

- Establish and evangelize best practices in data science, experimentation, and statistical rigor across the organization.

Skills :

What we are looking for :

- Masters or PhD in Computer Science, Statistics, Mathematics, or a related field.

- Strong expertise in causal inference techniques (DID, synthetic control, instrumental variables, Bayesian causal modeling, etc.

- Proven track record in building complex regression-based models (hierarchical/multilevel, regularized, Bayesian regression etc).

- Hands-on experience with experimentation design, A/B testing, and uplift modeling.

- Proficiency in Python/R, SQL, and cloud-based data platforms.

- Experience in deploying models into production and working with large-scale data pipelines.

- Ability to read, interpret, and translate research papers into practical implementations.

- Excellent communication skills to explain complex models and results to both technical and business stakeholders.

Experience :

- 5+ years of experience in data science or applied statistics, preferably in marketing analytics.

Heres What You Can Expect :

- Early impact Help shape the tech stack and build products from the ground up.

- Agile culture Small teams, zero bureaucracy.

- Great benefits Competitive pay, health insurance, daily breakfast, weekday lunches, Friday team lunch, Fun OClock Fridays, and unlimited coffee, tea & snacks.